{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1 align=\"center\" style=\"color:green\">Matplotlib Tutorial: Axes Labels, Legend, Grid</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "days=[1,2,3,4,5,6,7]\n",
    "max_t=[50,51,52,48,47,49,46]\n",
    "min_t=[43,42,40,44,33,35,37]\n",
    "avg_t=[45,48,48,46,40,42,41]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1f851056eb8>]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Jl4iUYy3PCLDPGDO2pnPVewWushLI2mTdjWWuhQPrIWszmHLr9WYtf34haN0P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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f84d939c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(days, max_t, label=\"max\")\n",
    "plt.plot(days, min_t, label=\"min\")\n",
    "plt.plot(days, avg_t, label=\"average\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2 style=\"color:purple\">Axes labels and chart title</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1f8510c2eb8>]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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RZi7bzUfr95OTX8Cg9g2ZPLgtw3s0r/DfQUr6Sf6ycCOfbjpAl2b1eHRMLwa2b+jj6AOH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\nSU0MDElSEwNDktTEwJAkNTEwJElNfgDNKlmi/t0sMwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f85103a940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# set axes labels and chart title\n",
    "plt.xlabel('Day')\n",
    "plt.ylabel('Temperature')\n",
    "plt.title('Weather')\n",
    "\n",
    "\n",
    "plt.plot(days, max_t, label=\"max\")\n",
    "plt.plot(days, min_t, label=\"min\")\n",
    "plt.plot(days, avg_t, label=\"average\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2 style=\"color:purple\">Legend</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1f85224ed30>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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HtNaDyjvXZa/AVZgPaduNu7GUTZC6BdJ2gC4yXvepf+GFoGFHqB1c+fMJ55B1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\nhKhmJPELIUQ1I4lfCCGqmf8HjDch7uLHMg8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f8511ea780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Show legend\n",
    "plt.plot(days, max_t, label=\"max\")\n",
    "plt.plot(days, min_t, label=\"min\")\n",
    "plt.plot(days, avg_t, label=\"average\")\n",
    "\n",
    "plt.legend(loc='best')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1f8527de7f0>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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mQzmcc5h3U96lZd2W3NTyJrPDEi7kwtad1aFWJn6Zky8qa0q7Kew8tZOX1r1E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\ncQymlwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f852744518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Legend at different location with shadow enabled and fontsize set to large\n",
    "plt.plot(days, max_t, label=\"max\")\n",
    "plt.plot(days, min_t, label=\"min\")\n",
    "plt.plot(days, avg_t, label=\"average\")\n",
    "\n",
    "plt.legend(loc='upper right',shadow=True,fontsize='large')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2 style=\"color:purple\">Grid</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1f852666630>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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mQzmcc5h3U96lZd2W3NTyJrPDEi7kwtad1aFWJn6Zky8qa0q7Kew8tZOX1r1E\nk+AmdI3sanZIQlRYrVtmt+PkDsYtG8fUNVNpEdqCzwd+zr0d7pWkL2ziptz4vyv/j8uCLuOhnx/i\n0JlD5R8khJOpNYn/bMFZ/rvuv4xaOsqopnnF87zf931ZiCUqzM/TjzevfhOtNff+eC+5BblmhyRE\nhbh84tdas/zAcgZ9OYjZ22YzvNlwlgxZwsAmA2VwTlRadGA0L/V4ib3Ze3ls1WNYtH2KZwlRHWxO\n/Eopd6XURqXUUuvjj5RS+5RSm6w/7co4boJSapf1p9S9eR3l0JlDTFkxhQdWPkBonVBmXzebJ7s9\nKQuxhF1c3uByHuz4ICsOruDdlHfNDkcIm1VkcPc+YDtQcq+wf2qtF5Z1gFIqFHgaSAQ0sF4ptURr\nfaoywdrqr3PyH+70sMzJFw4xLn4cqadSmbZpGs1DmtM7prfZIQlRLpvu+JVSUcD1wHsVPP+1wHKt\n9Ulrsl8O9KvgOSpk7ZG1DFsyjLc2vsVVUVexZMgSxsWPk6QvHEIpxVPdnqJ13dY89utj7Dq1y+yQ\nhCiXrV09rwMPA3/tyHxOKZWilHpNKVXaUsaGQMlpD2nW5+zubMFZHvv1MSZ+P5ECSwHTek/j1Z6v\nEuEX4YjmhCjm7e7N61e/jq+nL/f+eC/ZedlmhyTEJZWb+JVSA4AMrfX6v7z0KNAC6ASEAo+Udngp\nz5W6VFgpNUkplaSUSjp+/Hh5Yf2Nt7s3+0/vZ1LbSXw5+EuujLqywucQorIi/CJ4redrHMs9xkM/\nP0ShpdDskIQoky13/N2BQUqp/cBcoJdSarbW+og25AEfAp1LOTYNKLn+OApIL60RrfUMrXWi1jqx\nXr16FfoQYGy28Un/T7in/T3U8ahT4eOFqKp24e14suuTrDmyhlfXv2p2OEKUqdzEr7V+VGsdpbWO\nBUYDP2qtxyqlIgGUMSdyCLCllMO/A/oqpUKUUiFAX+tzDuHu5u6oUwthk6HNhnJTy5v4ZNsnLN69\n2OxwhChVVebxf6qU2gxsBsKA/wAopRKVUu8BaK1PAlOBddafZ63PCeGyHkx8kC71u/Ds6mdJOZ5i\ndjhC/I1U5xTCAbLOZzH669HkF+Uzd8Bcwn3DzQ5JuLiKVOd0+ZW7QpghuE4wb/Z6k5yCHP7x0z/I\nK5LtCIXzkMQvhIM0D2nOc1c8R0pmCs+ufhZn/HYtaidJ/EI40DWNrmFywmSW7FnCp9s/NTscIQBJ\n/EI43J0Jd3J19NW8nPQyq9NXmx2OEJL4hbBZTgbkVnxS2t9q+J+WGv7CXJL4hbBF6rfwZgeYfQNU\noq/+Qg1/gHt/upezBWftHaEnxprdAAAgAElEQVQQNpPEL8SlaA2/vgpzRoOHF6RvhAO/VepUJWv4\nP77qcanhL0wjiV+IshScg89vgxXPQOsb4O4k8K0Lq9+u9CkvquGfLDX8hTkk8QtRmuzD8EE/2PI5\n9H4ahr0PvqGQOBFSl8GJPZU+9bj4cQxqMohpydNYcWCFHYMWwjaS+IX4q0PrYObVcGI3jJkDVz4A\nF7bp7HQbuHvCmumVPv2FGv5twtrw6KpH2Xlqp50CF8I2kviFKGnTZ/DRdeDpA7f9AHH9L349IALa\njIBNn8K5ym8kd6GGv7+nP/f+eC9Z57OqGLgQtpPELwSApQi+exy+vBNiusLtP0F4y9Lf2/VOKMiF\n9R9Vqclw33Beu/o1MnIzeOgXqeEvqo8kfiHOZcFnI2H1/6DzHTB2kdGfX5b6beCyHvDHDCgqqFLT\nCfUSeLLrk/xx5A9eSXqlSucSwlaS+EXtlrkL3usNe3+GgW/Adf81+vDL0+0uOJMOW7+scghDmw1l\nbMuxzN4+my93V/18QpTHtRK/FMESFbH7B5jZ2+irn7AEOt5s+7FNr4G6zWDN23b5/05q+Ivq5FqJ\n/+3O8NEA+P5J2LIITu2Xi4H4O63h9//BpyMgOBomrYRGl1fsHG5uRl9/+kY4WPX6Ox5uHrzc42XC\nfcO5/6f7ycjNqPI5hSiL62zEUpgP3z0KhzfAsS1QlG887xMKDdobPw07GH8GNrB/0KJmKDgPS/8B\nyZ9By0EwZDp4+1fuXPm58Fo8NOoOo+1TeXPnqZ2M/WYszYKb8UG/D/B297bLeYXrq8hGLDYnfqWU\nO5AEHNZaD1BKfQokAgXAWuAOrfXfRrqUUkUY2zMCHNRaDyqvrSrvwFWYDxlbjbuxwxsgfRNkbANd\nZLzuX//iC0GD9uAXVvn2RM1w5ijMGwtp66Dno3DVw8ade1WseNYo6XDvBghtbJcwfzjwA/9Y+Q8G\nNRnEf7r/B3VhDYEQl+CoxP8ARqIPtCb+64Bl1pc/A37RWv9tVYtSKkdrXaFbKodsvZifa3wTOLzB\nuCCkbzAG9rB+/qAYaGi9CDToAA3aQZ0g+8YgzHN4A8y9Cc5nwdB3IH6wfc57+gi83gY6TYT+L9rn\nnMC0TdOYnjydRzo9wtj4sXY7r3BdFUn8HjaeMAq4HngOeABAa/1NidfXAlEVD7UaeflCdGfj54Lz\np+FI8p8XgvSNsG3xn6/XbVriQtAeItuCl1/1xy6qZvNCWHwX+NWDid8b0zHtJTASWg+DDZ8Y3yJ8\ngu1y2skJk0k9mcrLSS/TJLgJ3Rp0s8t5hQAb7/iVUguB/wMCgIe01gNKvOYJ/AHcp7X+tZRjC4FN\nQCHwgta63Plqpm62nnuyxIVgk3GneCbdeE25Qb0Wf34jaNgBIlqDh/TDOiWLBX76D/z6CsRcDiM/\nBv969m/nSDK8exVcMxW632u3054tOMvYb8aSkZvB3OvnEh0YbbdzC9dj164epdQA4Dqt9RSlVE/+\nnvhnAme11veXcXwDrXW6Uqox8CPQW2v9twpXSqlJwCSAmJiYjgcOHLAl/upx5qj1YnBhzGAD5J4w\nXnPzhIhWF48Z1GsJ7jZ9mRKOcv40LJoEO5dBhwlw3ctGWWVH+WgAnNwH9yXb9e/+0OlDjP56NOG+\n4cy+bjZ+nvKNU5TO3on//4BxGHfsdYBAYJHWeqxS6mmgPXCD1uUXF1dKfQQs1VovvNT7TL3jt4XW\nkH2oxIVgo/HtIC/beN3Dx+hOKB487mB0G1V1IFHY5uRemHMjZO40+t073fZnkTVH2fENzB0Dwz8w\nun7saHX6aib/MJmro6/m1Z6v4qbk/yPxdw4Z3LWeuCfWO36l1G3ArRh38OfKeH8IkKu1zlNKhQGr\ngcFa622XasfpE39pLBYj4ZQcLziSbNR0AfAKMLqHGrT7c8wgJNbxCam22bsSFtxs/D5iFjTuUT3t\nWizwv47gEwK3rbD73+sn2z7hv+v+y5SEKdzZ7k67nlu4BrsP7pbhHeAAsNo63WyR1vpZpVQiMFlr\nfRvQEnhXKWXBWCz2QnlJv8Zyc4OwpsZP2xHGc0WFxl3nhQvB4Q3wx7sl1hiEXDx43LADBETKxaAy\ntIa1M+Hbf0FYc6Occuhl1de+mxt0nQLfPASH1kJMF7uefmzLsew4uYNpydNoHtKc3o162/X8onZx\nnQVcNUW5awwijAtBw47QZpjd5oa7tMJ8I+FumAVx18ENM8A7oPrjyD8Lr8bDZVfBqE/sfvq8ojxu\n+fYWdmftZvZ1s2ke0tzubdQ0+7L3sebIGhoFNqJV3VYEedfeKdgO6+qpLi6d+EtzqTUGTXobc8Sb\nXSsDxqXJOQ7zxxllE658CK5+3NyxlOVPw+9vwr0bja48O8vIzWD00tF4uXsx9/q5BNexz/TRmqTA\nUsCPB39kfup81h5de9FrMQExtKrbilZhrWhVtxXxdePx9fQ1KdLqJYnfFZxOhw0fGzXfzxyBwIZG\nEbEO4yGgvtnROYcjKTD3Rjh7HAa/DW2Gmx2RsWXjG22h8yTo938OaSL5eDK3fHsLHcI78M417+Dh\nVjtuCI6ePcqCnQtYtGsRmecyaeDXgBFxI+jbqC+Hcw6z9cRWtmZuZcuJLRw9exQAhaJxUOPiC0Hr\nsNbEhca5ZCkMSfyupKjQmJK47n3Y+xO4eUCL6429Xy+7qvaOB2xbDF9MhjrBMOYzY4zEWXx+G6R+\nCw9sddjq78W7F/PEb08wtuVYHun8iEPacAYWbeH39N+ZlzqPX9J+QWvNlVFXMipuFN0bdMfdzb3U\n4zLPZbLtxLbiC8GWzC2cPH8SAA/lQbOQZsTXjad1WGta1W1F05CmeLrZUI7biUnid1Un9kDSB39u\n+1e3GSTeCu3GGAPFtYHFAj+/CD+/AFGdYNSnxnaIzuTwBmPP3r7PweV3O6yZF9e+yOzts3n28mcZ\n2myow9oxw6nzp/hy95fMT51PWk4aoXVCuaHZDQxvPpyG/g0rfD6tNcdyjxVfCLZmbmXria2czj8N\ngJebFy1CW1z0zSA2MLbMC4szksTv6grOGRuAJL1vFBzz8DHmjne61RgUdlV5OfDlZNj+FbS7CQa8\n5ryrpj/oD9lpRl+/g8ZmCi2FTP5hMhuObeDDfh+SUC/BIe1UF601yceTmZc6j+/3f0++JZ+OER0Z\nFTeKPjF98LRlg5wKtpd2Jq34QrDlxBa2n9hObqExBdvXw5eWdVsWXwha1W1FdEC00xbNk8RfmxxJ\nMS4AKQug4CxEtjMGg1sPN+oTuYpTB4z+/Ixt0Pc/xtRJJ/0HCMD2pTDvJmMtQashDmsm63wWY74e\nQ15RHnMHzCXcN9xhbTnK2YKzLN2zlPk757Pz1E78Pf0Z2GQgI5uPpGlI02qNpchSxP7T+9l6Yitb\nMrew9cRWdpzYQb7FmIId4BVw0YWgdVhrInwjnOJiIIm/NjqfDSnzjbGA49vBO8joAkqcCPVq+LS/\nA78b5ZSLCmHEB9C0j9kRlc9SBG91AL9wuG25Q5vadWoXN31zE02Dm/Jhvw9rzMBl6slU5qfOZ+ne\npeQW5tIytCUj40Zy3WXXOdVMnAJLAXuy9hRfCLZmbmXXqV0U6kIAQuuEXnQhiK8bT5hP9Zd5l8Rf\nm2ltTG1c974xAGopgNgrjbGAFgMcW6/GEdZ/BF8/CCGXwZi5xgK5muKPd2HZwzDxB4ju5NCmVhxY\nwf0r73f6Gv55RXl8v/975qfOZ9PxTXi7e3Nt7LWMihtFm7A2Thv3X+UV5ZF6MrX4m8G2E9vYk7UH\nbS3zXt+v/kUXgupYYyCJXxhyjsPGT2D9h5B10Lj77DDemBYa7OSVHosK4LvHYO0M4w5/2Pt2K3lc\nbfJyjAVdTXvBiI8c3tz0TdOZljyNhzs9zLj4cQ5vryIOnT7Egp0L+HL3l5zKO0WjwEaMaD6CIU2H\nuMyiq9yCXLaf3H7RN4ODZw4Wvx4dEE3ruq2LB5Bb1m1p16J7kvjFxSxFsHuFMRaw8zujb7zZtcZY\nQJPezlc8LvckLJgA+36By++BPs9ADZpdcZHvn4TVb8N9myA4xqFNWbSFB1Y+wE+HfuKdPu+YXsO/\n0FLIL2m/MD91Pr+l/4a7cqdndE9Gxo2ka2TXWlFsLjsv25hWar0QbD2xlSNnjwB/X2PQKqwVLUJb\nVLqrThK/KFvWQaP7ZMPHxsKn4EaQeAu0H+cc209mbIc5o40FbAPfNMYparLsNHi9rbEx+7XPObw5\nZ6jhn3kuk893fs7CXQs5evYo4T7hDGs+jGHNhhHh52RTb01Qco3Bha6iE+eNMu+BXoH8OvrXSl0U\nJfGL8hXmw46vYN0HcGAVuHsZ2xEmToSYrubMmEldZix+8vIz5uc7uF+82iy8FXYthwe2VUsNoUNn\nDjHm6zHU86lXbTX8tdasPbqWeanz+OngTxTqQrpGdmVU3Ch6RPeo8YujHKnkGoMT508wMm5kpc4j\niV9UTMYOY2FY8hzIOw3hrYxvAW1HQZ1Ax7evNax6FVZMNcpWj/4MAhs4vt3qkrYe3usF/V4w7vyr\nwZoja5i8fDI9onrw2tWvOaxbJTsvmyV7ljA/dT77T+8n0CuQIU2HMDJuJI0CGzmkTVE6SfyicvLP\nGvvTJr1v7CXg5Q9tRhhjAfbcp/aiNnNhyd2w5XOjrUFvgaePY9oy0/vXGjWX7t1YbeMVs7fN5sV1\nL3Jnwp1MaTfFrufekrmFeanz+Hbft5wvOk/bsLaMjBvJtbHXUsejjl3bEraprnr8wtV4+UHHCcbM\nn8MbjAtA8hxjVlB0F6MbKH4weNrpH3b2YWNR1pFk6PNv6H6/cy/KqopuU2D+eNjxNcQPqpYmb2p5\nEztO7mB68nSahzSnT6OqrX84V3iOZfuWMS91HttObMPHw4frG1/PqLhRtKzb0k5Ri+ogd/zi0nJP\nGsk/6QM4sRt8QqH9Tca6gKrsFXBoLcy9ySg/Mew9iOtnv5idkaUI3mxvdGHd+m21NZtXlMet397K\nrqxdla7hvzd7L/NT57Nk9xLOFJyhSVATRsaNZGCTgQR4mbDvgSiVdPUI+9Ma9v1sLAzb8bWxcUyT\nXsa3gOb9KlaPZuOnsPR+o9T0mLkQ3sJxcTuT1dPgu0fh9h+rtaZSZWr4X6h5Py91HuuOrsPDzYNr\nYq5hZNxIOkZ0rDELrWoThyR+pZQ7kAQctu65exkwFwgFNgDjtNb5pRz3KDARKALu1Vp/V15bkvid\n3OkjJfYKSDcSeAdrF1FgZNnHFRXC8qdgzdtwWQ9jUZNvaHVFbb7zp40FXc2vheHvV2vTKcdTuPnb\nm8ut4X8k5wgLdi7gi91fXFTzfkjTIaaUIRC2c1TifwBIBAKtiX8+xj67c5VS7wDJWuvpfzkmHpgD\ndAYaAD8AzbW+sM9g6STx1xBFhbDzW2MsYM+Pxl4BcdcZg8GX9bi4v/7cKWNa454foctko2RxbdxR\n7LvHYc10uD8FgqKqtemyavhbtIXfDv/G/NT5/HLY9pr3wrnYfXBXKRUFXA88BzygjO95vYAbrW+Z\nBfwbmP6XQwcDc7XWecA+pdRujIvAalvaFU7O3QNaDjB+TuwxBoE3zobtS6BuU+teATfC2UxjUdap\nA8airI4TzI7cPJ0nwZppRimKa56t1qYHNx3MjpM7mL3d6OvvEd2DL3Z9wYKdCzicc5jQOqHc2vrW\nSte8FzWHrbdcrwMPAxdGcuoCWVpby9NBGlDa/ykNgTUlHpf1PlHT1W1ilEu++vE/9wr47jFY8azx\nTcCjDkz4ChqZW0bAdCGNoOUgSPoIrnoYvP2rtfkHEx9kV9Yunl3zLGqNosBSQMeIjtzX4T6H1LwX\nzqncxK+UGgBkaK3XK6V6Xni6lLeW1mdk6/tQSk0CJgHExDi2polwIE8fo8xCuzHWvQI+gNxMuPb/\nnL8wXHXpdhds+xI2fQZdJlVr0x5uHrx81cs88usjNApsZErNe2E+W+74uwODlFLXAXWAQIxvAMFK\nKQ/rXX8UkF7KsWlAyX/tZb0PrfUMYAYYffw2fwLhvCLbwsDXzY7C+UR3NraNXDPNGA+p5j704DrB\nvHvNu9XapnAu5a7j1lo/qrWO0lrHAqOBH7XWNwE/AcOtb5sALC7l8CXAaKWUt3UWUDNgrV0iF6Im\n6zoFTu0zBseFqGZVKeDxCMZA726MPv/3AZRSg5RSzwJorbcC84FtwLfAXeXN6BGiVmg5CIKijZLN\nQlQzWcAlhFl+fwu+fwImrYQG7c2ORtRwFZnO6fo7IQjhrDqMNwrhrZ5mdiSilpHEL4RZ6gQZG+Bs\nXWRsPCNENZHEL4SZutwB2mIs6BKimkjiF8JMoZdBi+sh6UNjPwQhqoEkfiHM1u1uOJ9llL8WohpI\n4hfCbNFdoEEHY5DXYjE7GlELSOIXwmxKGWUcTu6BXd+bHY2oBSTxC+EM4gcb+xqs/p/ZkYhaQBK/\nEM7A3dOY4bP/V6O4nRAOJIlfCGfRYQJ4+hnF24RwIEn8QjgLn2BoPxY2L4QzR82ORrgwSfxCOJOu\nk8FSCGtnmh2JcGGS+IVwJqGNjX2Lkz6A/FyzoxEuShK/EM6m211w7iSkzDU7EuGiJPEL4WwaXQ6R\nCbBmuizoEg4hiV8IZ6OUUcYhcyfs/sHsaIQLksQvhDOKHwIBkbBGdugS9ldu4ldK1VFKrVVKJSul\ntiqlnrE+/6tSapP1J10p9WUZxxeVeN8Se38AIVyShxd0ngR7V8LRLWZHI1yMLXf8eUAvrXUC0A7o\np5TqqrW+UmvdTmvdDlgNLCrj+HMX3qe1HmSnuIVwfR1vBk9fo69fCDsqN/FrQ471oaf1p3ijXqVU\nANALKPWOXwhRSb6h0O5G2DwfzhwzOxrhQmzq41dKuSulNgEZwHKt9R8lXh4KrNBany7j8DpKqSSl\n1Bql1JAqxitE7dLlTijKh6T3zY5EuBCbEr/WusjapRMFdFZKtS7x8hjgUjtIxFh3fr8ReF0p1aS0\nNymlJlkvEEnHjx+3MXwhXFxYU2jeH9a9BwXnzI5GuIgKzerRWmcBK4F+AEqpukBn4OtLHJNu/XOv\n9dj2ZbxvhtY6UWudWK9evYqEJYRr6zYFck9AynyzIxEuwpZZPfWUUsHW332APsAO68sjgKVa6/Nl\nHBuilPK2/h4GdAe22SNwIWqN2CuhfhujaqfW5b9fiHLYcscfCfyklEoB1mH08S+1vjaav3TzKKUS\nlVLvWR+2BJKUUsnAT8ALWmtJ/EJUhFLQ9S44vgP2rDA7GuEClHbCO4jExESdlJRkdhhCOI/CfHi9\nDUTEw7gvzI5G2JvWcOB3yNgGnW+v1CmUUuut46nlkpW7QtQEHl7Q+TbY8yMcky/NLuN8NvwxA6Z1\ng4+ug5//C4V5Dm9WEr8QNUXHW8HDR3bocgVHkmHJvfBKC1j2T/CsA4P+B/clg4e3w5v3cHgLQgj7\n8KsLCaNh02fQ+2nwl9lvNUrBOdj6Bax7Hw4nGRfxNsMgcSI07FCtoUjiF6Im6ToF1n9obNTS8xGz\noxG2OLHH+PvaOBvOZ0FYc+j3gnER9wkxJSRJ/ELUJPWaQ7O+sG4mdL/P6CIQzqeoEFK/MVZc710J\nbh7QYgB0mmhMz1XK1PAk8QtR03S7Cz4eDFsWGpuzC+dxOh3Wz4INs+DMEQiMgl5PQPvxEBBhdnTF\nJPELUdNc1gMiWsPqadDuJtPvHms9iwX2rTT67lOXgbZA095w/avQ/Fpwczc7wr+RxC9ETaMUdL0T\nFt9ldCM0udrsiGqn3JOw6VOj//7kXvCtC5ffDR1vgdDLzI7ukiTxC1ETtRkBPzwDq9+WxF+dtIa0\nJKPvfssiKMqD6K7Q81GIH1wtUzHtQRK/EDWRhzd0ug1WPg/HU6FenNkRuba8HNi8wEj4RzeDVwB0\nGAeJt0JEK7OjqzBJ/ELUVJ0mwq+vGAu6Br5hdjSuKWO70XefPBfyz0BEGxjwmvGNyzvA7OgqTRK/\nEDWVXxgkjDKSUq+njAVeouoK82D7V0bCP/g7uHtDq6HGhTaqk0sMpkviF6Im6zoFNnxsDDD2+KfZ\n0dRsp/ZD0ofGQqvcTAi5DK55FtqNdbmLqiR+IWqy8JbQpLd1Qde9NWZw0WlYimDXcqPvftdy426+\neX/odCs07gVurlnOTBK/EDVdt7tg9g2w5XNjc3ZRvpwM45vS+lmQfRD860OPh6HDeAiKMjs6h5PE\nL0RN16QX1GtpLOhKGOMSfdAOoTUc+M3ou9/+FVgKjMVw1/4H4q4Dd0+zI6w2kviFqOmUMvblXXIP\n7PsFGvcwOyLncj7bGABP+sDYxaxOMHSeBIm3QFgzs6MzhS177tZRSq1VSiUrpbYqpZ6xPv+RUmqf\nUmqT9addGcdPUErtsv5MsPcHEEIAbUaCb5jU6i8pfZNxMXylBSx7GLz8YPA0eHAH9Hu+1iZ9sO2O\nPw/opbXOUUp5AquUUsusr/1Ta72wrAOVUqHA00AioIH1SqklWutTVQ1cCFGCZx1jQdfPL0Dmrtqb\n1PJzYesiozsnfYNR877tCGOhVYP2ZkfnNMpN/NrYlDfH+tDT+mPrRr3XYmzOfhJAKbUc6MdfNmgX\nQthBp4mw6lVYMx0GvGp2NNUrc5fRlbPpU6NrJywO+r1orXkfbHZ0TsemuUpKKXel1CYgAyOR/2F9\n6TmlVIpS6jWlVGnzyBoCh0o8TrM+J4SwN/9waDvS2KEr96TZ0TheUQFsWwyzBsH/EmHtTGNq681f\nw11/QNfJkvTLYFPi11oXaa3bAVFAZ6VUa+BRoAXQCQgFStsOqLTpBaV+W1BKTVJKJSmlko4fP25T\n8EKIv+g6BQrPGbt0uarsw/DT8/Baa5g/3qiM2etJeGAbjPgQYq+QmU3lqNCsHq11llJqJdBPa/2y\n9ek8pdSHwEOlHJIG9CzxOApYWca5ZwAzABITE23tShJClBTRChpfDX/MgG73gIeX2RHZh8UCe38y\nunMu1Lxvdg0kvmH86YQ1751ZuYlfKVUPKLAmfR+gD/CiUipSa31EKaWAIcCWUg7/DnheKXVhY8m+\nGN8UhBCO0u0u+HS4sbF3wiizo6ma3JNGCYWkD+DUPmPmUvd7oePNEBJrdnQ1li13/JHALKWUO0bX\n0Hyt9VKl1I/Wi4ICNgGTAZRSicBkrfVtWuuTSqmpwDrruZ69MNArhHCQJr2Nwc3V/zP6/Gtat4fW\nkLbOmJmz9Quj5n3M5cYWhi0HSlkKO1DGpB3nkpiYqJOSkswOQ4iaK+lDWHq/MdAZe4XZ0dgmLwc2\nz4d1H8Axa837hFGQOBEi4s2OzukppdZrrRNtea+s3BXCFSWMhhXPGjt0OXviP7bNKJKWPO8vNe9H\ngre/2dG5JEn8QrgiTx9jXv8vL8OJPVC3idkRXawwD7YtMRL+wdUuWfPemUniF8JVdboNVr0Of7wD\n171kdjSGUmveT4X2Y8E31Ozoag1J/EK4qoD6xhaBG2fD1Y+BT0j5xziCpQh2fW8M1u7+wbibj7vO\nKKPQ+GqXrXnvzCTxC+HKuk2B5M+MuvNX3F+9bZ85Bhsv1Lw/VKLm/QQIkgX8ZpLEL4Qrq98GLrsK\n/njXmN/v6JrzWsP+VUbf/favwFJorXn/XK2ree/MJPEL4eq63gVzRhl1bdoMd0wb57L+rHmfmWqt\neX+H0Z0T1tQxbYpKk8QvhKtr1hfqNjUWdLUeZt8ZM+kbjb77LZ9DQS407GjUvG99gzGzSDglSfxC\nuDo3N+h6J3z9IBxcA426Ve18f6157+lrfJNInAgNSt2PSTgZSfxC1AYJY+DH/xh3/ZVN/KXVvO//\nX2OxWJ0g+8YrHEoSvxC1gZcfdLwFVr1mlDEObWzbcUUFsONrY7B23y/g5mnUy+k0ERp1l4VWNZQk\nfiFqi86T4Pe3jBk+/V+89HuzD8P6j2DDx5BzFIKijZr3HcYbG76IGk0SvxC1RWCkMei6cTb0fPTv\nu1NZLLD3R6NI2s5lxtRMqXnvkiTxC1GbdJ0CKfOMO/nu9xrPnT0Bm2YbpRSKa97fJzXvXZgkfiFq\nkwbtoNEVRndPVKLRnbP1S6l5X8tI4heitul2F8wdAx/2N2redxhvLLSSmve1hiR+IWqb5v3gin9A\ncCOjiJvUvK91bNlztw7wC+Btff9CrfXTSqlPgUSgAFgL3KG1Lijl+CJgs/XhQa31IHsFL4SoBDc3\n6PNvs6MQJrLljj8P6KW1zlFKeQKrlFLLgE+Bsdb3fAbcBkwv5fhzWmtZzieEEE6i3MSvjU15c6wP\nPa0/Wmv9zYX3KKXWAlEOiVAIIYRd2bQDglLKXSm1CcgAlmut/yjxmicwDvi2jMPrKKWSlFJrlFJD\nqhyxEEKIKrEp8Wuti6zdNVFAZ6VU6xIvTwN+0Vr/WsbhMdad328EXldKlbr5p1JqkvUCkXT8+PEK\nfAQhhBAVUaE9z7TWWcBKoB+AUuppoB7wwCWOSbf+udd6bPsy3jdDa52otU6sV69eRcISQghRAeUm\nfqVUPaVUsPV3H6APsEMpdRtwLTBGa20p49gQpZS39fcwoDuwzV7BCyGEqDhbZvVEArOUUu4YF4r5\nWuulSqlC4ACwWhkV+hZprZ9VSiUCk7XWtwEtgXeVUhbrsS9orSXxCyGEiWyZ1ZNCKd0zWutSj9Va\nJ2FM7URr/TvQpooxCiGEsCNlzNZ0Lkqp4xjfJiojDMi0YzhmcpXP4iqfA+SzOCNX+RxQtc/SSGtt\n0wCpUyb+qlBKJVlnEdV4rvJZXOVzgHwWZ+QqnwOq77NUaFaPEEKImk8SvxBC1DKumPhnmB2AHbnK\nZ3GVzwHyWZyRq3wOqKbP4nJ9/EIIIS7NFe/4hRBCXILLJH6l1AdKqQyl1BazY6kKpVS0UuonpdR2\npdRWpdR9ZsdUWUqpOkqptUqpZOtnecbsmKrCWqxwo1JqqdmxVIVSar9SarNSapNSKsnseKpCKRWs\nlFqolNph/TfTzeyYKnbBlakAAAKTSURBVEMpFWf9+7jwc1opdb/D2nOVrh6l1FUY5aM/1lq3Lu/9\nzkopFQlEaq03KKUCgPXAkJq44lkZS7r9Su7lANyntV5jcmiVopR6AGPzoUCt9QCz46kspdR+IFFr\nXePnviulZgG/aq3fU0p5Ab7WmmI1lrVKwmGgi9a6suuZLsll7vi11r8AJ82Oo6q01ke01husv58B\ntgMNzY2qcrThb3s5mBhSpSmlooDrgffMjkUYlFKBwFXA+wBa6/yanvStegN7HJX0wYUSvytSSsVi\nlMv449LvdF6X2suhhnkdeBgotSBhDaOB75VS65VSk8wOpgoaA8eBD61dcO8ppfzMDsoORgNzHNmA\nJH4npZTyBz4H7tdanzY7nsoqZy+HGkEpNQDI0FqvNzsWO+mute4A9AfusnaT1kQeQAdguta6PXAW\n+Je5IVWNtbtqELDAke1I4ndC1v7wz4FPtdaLzI7HHv66l0MN0x0YZO0bnwv0UkrNNjekyiuxR0YG\n8AXQ2dyIKi0NSCvxLXIhxoWgJusPbNBaH3NkI5L4nYx1QPR9YLvW+lWz46mKsvZyMDeqitNaP6q1\njtJax2J8Df9Raz3W5LAqRSnlZ500gLVbpC/w/+3dIY5CQRBF0VsJCk0yS2ARGBLCIpCoUWwAw0qQ\ngGQxeAwIdlEj+AIBCSEhPz11j2zTpZ6odPo1+RIuM2/AJSLG3dGM9vs+Fnx5zQPv/cffhIg4AFNg\nFBFXYJOZ236n+siEe4fxqduNA6wfy+0b8rTLoeeZqvsBjl2HxgDYZ+arvuwWrIBdtyI5A8ue5/lY\nRAyBOfD79bv+y3NOSdJ7XPVIUjEGvyQVY/BLUjEGvyQVY/BLUjEGvyQVY/BLUjEGvyQV8wd75usG\ncQymlwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f8525bfe48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(days, max_t, label=\"max\")\n",
    "plt.plot(days, min_t, label=\"min\")\n",
    "plt.plot(days, avg_t, label=\"average\")\n",
    "\n",
    "plt.legend(loc='upper right', fontsize=\"large\",shadow=True)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
